Naiming Liu

According to our database, Naiming Liu authored at least 34 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Misconception Acquisition Dynamics in Large Language Models.

Naiming Liu, Xinghe Chen, Richard G. Baraniuk, Mrinmaya Sachan, Shashank Sonkar

CoRR, April, 2026

Circuit Complexity of Hierarchical Knowledge Tracing and Implications for Log-Precision Transformers.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

CoRR, March, 2026

Scalable Generation and Validation of Isomorphic Physics Problems with GenAI.

Naiming Liu, Leo Murch, Spencer Moore, Tong Wan, Shashank Sonkar, Richard G. Baraniuk, Zhongzhou Chen

CoRR, February, 2026

MetaCLASS: Metacognitive Coaching for Learning with Adaptive Self-regulation Support.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

CoRR, February, 2026

MalruleLib: Large-Scale Executable Misconception Reasoning with Step Traces for Modeling Student Thinking in Mathematics.

Xinghe Chen, Naiming Liu, Shashank Sonkar

CoRR, January, 2026

CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models.

Naiming Liu, Richard G. Baraniuk, Shashank Sonkar

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Learning Context: A Unified Framework and Roadmap for Context-Aware AI in Education.

Naiming Liu, Brittany C. Bradford, Johaun Hatchett, Gabriel Diaz, Lorenzo Luzi, Zichao Wang, Debshila Basu Mallick, Richard G. Baraniuk

CoRR, December, 2025

Do LLMs Make Mistakes Like Students? Exploring Natural Alignment between Language Models and Human Error Patterns.

Naiming Liu, Shashank Sonkar, Richard G. Baraniuk

CoRR, February, 2025

The Imitation Game for Educational AI.

Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk

CoRR, February, 2025

Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education.

Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Turing-Like Test for Personalized Educational AI.

Shashank Sonkar, Naiming Liu, Xinghe Chen, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Many-Shot Regurgitation Prompting.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues.

Alexander Scarlatos, Naiming Liu, Jaewook Lee, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns.

Naiming Liu, Shashank Sonkar, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

Atomic Learning Objectives Labeling: A High-Resolution Approach for Physics Education.

Naiming Liu, Shashank Sonkar, Debshila Basu Mallick, Richard G. Baraniuk, Zhongzhou Chen

CoRR, 2024

LLM-based Cognitive Models of Students with Misconceptions.

Shashank Sonkar, Xinghe Chen, Naiming Liu, Richard G. Baraniuk, Mrinmaya Sachan

CoRR, 2024

MalAlgoQA: A Pedagogical Approach for Evaluating Counterfactual Reasoning Abilities.

Naiming Liu, Shashank Sonkar, Myco Le, Richard G. Baraniuk

CoRR, 2024

Synthetic Context Generation for Question Generation.

Naiming Liu, Zichao Wang, Richard G. Baraniuk

CoRR, 2024

Regressive Side Effects of Training Language Models to Mimic Student Misconceptions.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

CoRR, 2024

Code Soliloquies for Accurate Calculations in Large Language Models.

Shashank Sonkar, Xinghe Chen, Myco Le, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Titan: Bringing the Deep Image Prior to Implicit Representations.

Lorenzo Luzi, Daniel LeJeune, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2024

MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education.

Shashank Sonkar, Naiming Liu, Myco Le, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Student Data Paradox and Curious Case of Single Student-Tutor Model: Regressive Side Effects of Training LLMs for Personalized Learning.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Marking: Visual Grading with Highlighting Errors and Annotating Missing Bits.

Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023

Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions.

Naiming Liu, Shashank Sonkar, Zichao Wang, Simon Woodhead, Richard G. Baraniuk

CoRR, 2023

CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles.

Shashank Sonkar, Naiming Liu, Debshila Basu Mallick, Richard G. Baraniuk

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

A survey of visual analytics techniques for online education.

Xiaoyan Kui, Naiming Liu, Qiang Liu, Jingwei Liu, Xiaoqian Zeng, Chao Zhang

Vis. Informatics, 2022

A Visual Tour Of Current Challenges In Multimodal Language Models.

Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

CoRR, 2022

Open-Ended Knowledge Tracing.

Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan

CoRR, 2022

NFT-K: Non-Fungible Tangent Kernels.

Sina Alemohammad, Hossein Babaei, C. J. Barberan, Naiming Liu, Lorenzo Luzi, Blake Mason, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2022

NeuroView-RNN: It's About Time.

C. J. Barberan, Sina Alemohammad, Naiming Liu, Randall Balestriero, Richard G. Baraniuk

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Open-ended Knowledge Tracing for Computer Science Education.

Naiming Liu, Zichao Wang, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automated Scoring for Reading Comprehension via In-context BERT Tuning.

Nigel Fernandez, Aritra Ghosh, Naiming Liu, Zichao Wang, Benoît Choffin, Richard G. Baraniuk, Andrew S. Lan

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Wearing A Mask: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels.

Sina Alemohammad, Hossein Babaei, Randall Balestriero, Matt Y. Cheung, Ahmed Imtiaz Humayun, Daniel LeJeune, Naiming Liu, Lorenzo Luzi, Jasper Tan, Zichao Wang, Richard G. Baraniuk

Proceedings of the IEEE International Conference on Acoustics, 2021